Summarizing text documents: sentence selection and evaluation metrics
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Summarizing Similarities and Differences Among Related Documents
Information Retrieval
Cross-document summarization by concept classification
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Centroid-based summarization of multiple documents
Information Processing and Management: an International Journal
Robust generic and query-based summarisation
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
From single to multi-document summarization: a prototype system and its evaluation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Automatic evaluation of summaries using N-gram co-occurrence statistics
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Topic themes for multi-document summarization
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Improving web search results using affinity graph
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Using query expansion in graph-based approach for query-focused multi-document summarization
Information Processing and Management: an International Journal
Expert Systems with Applications: An International Journal
An exploration of document impact on graph-based multi-document summarization
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Topic analysis for topic-focused multi-document summarization
Proceedings of the 18th ACM conference on Information and knowledge management
MagicCube: choosing the best snippet for each aspect of an entity
Proceedings of the 18th ACM conference on Information and knowledge management
Context-based multi-label image annotation
Proceedings of the ACM International Conference on Image and Video Retrieval
Graph-based multi-modality learning for topic-focused multi-document summarization
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Topic aspect analysis for multi-document summarization
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Manifold ranking with sink points for update summarization
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Exploiting novelty, coverage and balance for topic-focused multi-document summarization
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Multi-document summarization via the minimum dominating set
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Towards a unified approach to simultaneous single-document and multi-document summarizations
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
A context-sensitive manifold ranking approach to query-focused multi-document summarization
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Enriching the contents of enterprises' wiki systems with web information
WAIM'10 Proceedings of the 2010 international conference on Web-age information management
A new approach for multi-document update summarization
Journal of Computer Science and Technology
A unified framework for recommending diverse and relevant queries
Proceedings of the 20th international conference on World wide web
Context-based support vector machines for interconnected image annotation
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Expert Systems with Applications: An International Journal
Integrating Document Clustering and Multidocument Summarization
ACM Transactions on Knowledge Discovery from Data (TKDD)
Improving query focused summarization using look-ahead strategy
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Efficient manifold ranking for image retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Summarizing the differences in multilingual news
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
A novel approach to update summarization using evolutionary manifold-ranking and spectral clustering
Expert Systems with Applications: An International Journal
Natural Language Engineering
Timeline generation through evolutionary trans-temporal summarization
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Topic decomposition and summarization
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Weighted consensus multi-document summarization
Information Processing and Management: an International Journal
Improving document summarization by incorporating social contextual information
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
MCMR: Maximum coverage and minimum redundant text summarization model
Expert Systems with Applications: An International Journal
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
A unified graph model for Chinese product review summarization using richer information
Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining
SumView: A Web-based engine for summarizing product reviews and customer opinions
Expert Systems with Applications: An International Journal
Multi-document summarization via submodularity
Applied Intelligence
Proceedings of the 21st ACM international conference on Information and knowledge management
Query-focused multi-document summarization based on query-sensitive feature space
Proceedings of the 21st ACM international conference on Information and knowledge management
Ontology-enriched multi-document summarization in disaster management using submodular function
Information Sciences: an International Journal
Exploring hypergraph-based semi-supervised ranking for query-oriented summarization
Information Sciences: an International Journal
Exploiting relevance, coverage, and novelty for query-focused multi-document summarization
Knowledge-Based Systems
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on ACM SIGKDD 2012
Comments-oriented document summarization based on multi-aspect co-feedback ranking
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Summarization of scientific documents by detecting common facts in citations
Future Generation Computer Systems
PSG: a two-layer graph model for document summarization
Frontiers of Computer Science: Selected Publications from Chinese Universities
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Topic-focused multi-document summarization aims to produce a summary biased to a given topic or user profile. This paper presents a novel extractive approach based on manifold-ranking of sentences to this summarization task. The manifold-ranking process can naturally make full use of both the relationships among all the sentences in the documents and the relationships between the given topic and the sentences. The ranking score is obtained for each sentence in the manifold-ranking process to denote the biased information richness of the sentence. Then the greedy algorithm is employed to impose diversity penalty on each sentence. The summary is produced by choosing the sentences with both high biased information richness and high information novelty. Experiments on DUC2003 and DUC2005 are performed and the ROUGE evaluation results show that the proposed approach can significantly outperform existing approaches of the top performing systems in DUC tasks and baseline approaches.